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Record W2034681616 · doi:10.1177/1545109708328538

Three-Year Outcome Data of Second-Line Antiretroviral Therapy in Ugandan Adults: Good Virological Response but High Rate of Toxicity

2008· article· en· W2034681616 on OpenAlexaff
Barbara Castelnuovo, Laurence John, Fred Lutwama, Allan Ronald, Lisa A. Spacek, Michael Bates, Moses R. Kamya, Robert Colebunders

Bibliographic record

VenueJournal of the International Association of Physicians in AIDS Care · 2008
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsUniversity of Manitoba
FundersBill and Melinda Gates Foundation
KeywordsLopinavirMedicineRegimenRitonavirStavudineLamivudineDidanosineInterquartile rangeInternal medicineZidovudineViral loadLopinavir/ritonavirReverse-transcriptase inhibitorAdverse effectGastroenterologyVirologyAntiretroviral therapyHuman immunodeficiency virus (HIV)Viral diseaseVirus

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the safety and virological response to lopinavir/ritonavir containing second-line therapy after failing a first line nonnucleoside reverse transcriptase inhibitor (NNRTI) based regimen. DESIGN: Prospective 36 months cohort study of patients switched to zidovudine/stavudine plus didanosine plus lopinavir/ritonavir capsules as second-line regimen. METHODOLOGY: Structured interview, medical examination, and laboratory assessment performed every 6 months. RESULTS: We enrolled 40 patients; 1 died and 3 were lost to follow-up. Median CD4+ count at baseline was 108 cell/microL, median log viral load was 4.8 copies/mL. Sixteen (40%) patients had baseline genotypic resistant test, 14 (87%) had lamivudine resistance mutations, and all had NNRTIs resistance mutations. At month 36, 82% of the patients achieved viral suppression (<400 copies/ mL) and the median increase in CD4+ count was 214 cell/microL, (interquartile range: 128-295). Twenty-five patients (62%) experienced at least one adverse event. CONCLUSIONS: Our study confirms lopinavir/ ritonavir-based second-line regimen but with a high rate of toxicities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.291
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the International Association of Physicians in AIDS CareSame topicHIV/AIDS drug development and treatmentFrench-language works237,207